On secondment from the Eton group, Neil's main task at Syenap was to apply algorithms to quantitative visitor data generated from retail security camera footage, which was then combined with transaction and other data, and transformed into quantifiable business performance indicators, by means of a fully scalable analytics pipeline (which he developed in house) consisting of machine learning algorithms, simulations etc. He further managed a mid-sized team of back- and front-end developers producing end-user dashboards.